snail-pytorch
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Implementation of "A Simple Neural Attentive Meta-Learner" (SNAIL, https://arxiv.org/pdf/1707.03141.pdf) in PyTorch
For the Mini-ImageNet ResNet-based encoder, I believe the authors use mean pooling instead of max pooling, as done by this implementation. I am currently unable to reproduce the mini-imagenet results...
Hi have you finished the RL part? thanks in advance!!
In the original paper, "the number of shots K was chosen uniformly at random from 1 to 5." So the forward function of SNAIL should take an arbitrary K instead...